Adaptive Fuzzy Wavelet Control for a Class of Uncertain Nonlinear Systems

Author

Wang, Jun ; Peng, Hong ; Chen, Yan-yun ; Song, Zhi-qiang

Author_Institution

Sch. of Electr. & Inf., Xihua Univ., Chengdu

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

288

Lastpage

292

Abstract

In this paper, a systematic guideline is introduced to design a stable adaptive fuzzy wavelet controller with sliding mode for a class of uncertain nonlinear systems. Based on the Lyapunov synthesis approach, we construct the fuzzy wavelet controller such that it can basically control and guarantee the stability of the whole control system. On the other hand, a robust controller is designed to restrain or eliminate the disturbance and assure the desired output accuracy of a control system. Some experimental results for a chaotic system are provided here to demonstrate the effectiveness of the control algorithm

Keywords

adaptive control; control system synthesis; fuzzy control; fuzzy neural nets; neurocontrollers; nonlinear control systems; robust control; uncertain systems; variable structure systems; wavelet transforms; Lyapunov synthesis approach; fuzzy neural network; robust controller design; sliding mode control; stable adaptive fuzzy wavelet control design; uncertain nonlinear systems; Adaptive control; Control system synthesis; Control systems; Fuzzy control; Fuzzy systems; Guidelines; Nonlinear control systems; Nonlinear systems; Programmable control; Sliding mode control; Fuzzy neural network; system identification; wavelet network;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.259025

Filename

4028075